
Cloud Data Architect
3 days ago
Build scalable data solutions in the cloud as a Cloud Data Architect.
Design and develop robust ETL pipelines using PySpark and AWS Glue to power business decisions.
Key Responsibilities
- Develop and maintain scalable data lakes on AWS S3.
- Collaborate with analysts to ensure data quality and availability.
- Create interactive dashboards using Amazon QuickSight.
- Automate workflows with AWS Step Functions, Lambda, and EventBridge.
Qualifications
- Bachelor's in Computer Science or related field (Master's preferred).
- Strong experience with PySpark, Python, and SQL.
- Proficient in Git and AWS services (Glue, S3, Lambda, Redshift, Athena, DynamoDB, etc.).
- Familiarity with Databricks and its ecosystem.
Preferred Skills
- Knowledge of data warehousing and data modeling.
- Exposure to big data technologies like Hadoop and Spark.
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